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Revisiting Popularity and Demographic Biases in Recommender Evaluation
  and Effectiveness

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

15 October 2021
Nicola Neophytou
Bhaskar Mitra
Catherine Stinson
    CML
ArXivPDFHTML

Papers citing "Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness"

4 / 4 papers shown
Title
Fuck the Algorithm: Conceptual Issues in Algorithmic Bias
Fuck the Algorithm: Conceptual Issues in Algorithmic Bias
Catherine Stinson
FaML
119
0
0
16 May 2025
FairRec: Two-Sided Fairness for Personalized Recommendations in
  Two-Sided Platforms
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Gourab K. Patro
Arpita Biswas
Niloy Ganguly
Krishna P. Gummadi
Abhijnan Chakraborty
FaML
63
233
0
25 Feb 2020
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
203
315
0
30 Oct 2017
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice,
  and Discrimination
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
Amit Datta
Michael Carl Tschantz
Anupam Datta
70
732
0
27 Aug 2014
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